Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach

INTRODUCTION: Developing a machine learning-based approach which could provide quantitative identification of major depressive disorder (MDD) is essential for the diagnosis and intervention of this disorder. However, the performances of traditional algorithms using static functional connectivity (SF...

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Udgivet i:Front Neurosci
Main Authors: Yan, Baoyu, Xu, Xiaopan, Liu, Mengwan, Zheng, Kaizhong, Liu, Jian, Li, Jianming, Wei, Lei, Zhang, Binjie, Lu, Hongbing, Li, Baojuan
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7118554/
https://ncbi.nlm.nih.gov/pubmed/32292322
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00191
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